Solution
Shopee data, extracted at scale
Real-time prices, flash-sale captures, seller listings, reviews, and inventory across every active Shopee market. We extract from the platform that defeats most others.
Shopee is the platform most extraction teams give up on.
The web is a thin shell. The app carries the data, behind encrypted APIs, signed requests, certificate pinning, and CAPTCHAs that flag anything that does not look like a phone in a customer's hand.
Most providers ship partial data, or pipelines that break on every Shopee build.
We extract directly from Shopee's app layer, across all active markets, at the cadence you need. When Shopee changes its defenses, our pipeline adapts within hours.
You define the markets, categories, and cadence. We deliver.
Structured records on your schedule, in your format. You never see the engineering underneath. Your competitors never see you watching.
App-layer extraction
We pull directly from Shopee's encrypted app APIs, not the limited web shell. The data your competitors thought was unreachable.
Flash-sale capture
Cycles as low as every 15 minutes. Mega-sale moments (9.9, 10.10, 11.11, 12.12), surge promos, and time-bound vouchers, captured as they go live.
Every active Shopee market
Singapore, Indonesia, Malaysia, Thailand, Vietnam, Philippines, Taiwan, Brazil. Geo-routed, location-verified, in parallel.
Shopee is two products in one. The web is a fraction of the surface. Whoever wins on Shopee is reading the app, in every market, at app frequency. Without app-layer data, your view of Shopee is incomplete by design.
How it works
The extraction pipeline
From target spec to your warehouse, every Shopee record passes through these stages. You see the output. We run everything in between.
Target spec
App, market, category, voucher tier, and cadence locked from your pilot scope.
Device pool
Instrumented Android and iOS sessions, geo-routed per Shopee market, warm.
Network capture
Signed requests replayed at cadence with TLS-fingerprint match and CAPTCHA evasion.
Validation
Schema, range, deduplication, and anomaly checks. Decoy and AI-cloak data filtered.
Delivery
CSV, JSON, REST, or direct push to your warehouse, in your spec.
Where the data lives
App categories we extract from
Shopee Data Extraction flows through every surface where buyers transact and decide. Here is the landscape we cover.
Shopee main app (Android & iOS)
Primary surface for prices, listings, and inventory in every active market
Shopee Web
Limited but useful for cross-validation against app-layer extraction
Shopee Live
Live commerce streams, time-bound flash inventory, host-driven promos
ShopeeFood
Food delivery menus, restaurant pricing, surge windows where active
Seller storefronts
Mall, Preferred, and regular seller pages with full listing detail
Voucher and promo system
Platform-wide, shop-level, category, and ShopeePay-tied voucher mechanics
Data landscape
The data we extract
From Shopee app extraction to your warehouse, in your schema, on your schedule. We handle the device pools, signed requests, CAPTCHA evasion, and continuous monitoring. You receive a finished feed.
Pricing
List price, sale price, member-tier price, voucher-applied price, currency, market
Listings
Item ID, shop ID, title, category path, attributes, variants, images, descriptions
Sellers
Seller ID, name, type (Mall, Preferred, regular), rating, response rate, country
Reviews
Star rating, text, photos, reviewer ID, timestamp, verified-buyer flag
Inventory
In-stock status, units sold, stock level where exposed, restock signals
Promotions
Flash sale windows, voucher codes, bundle structures, free-shipping rules, ShopeePay rebates
Discoverability
Search rank, category rank, banner placements, recommended carousels
This is a representative sample of the data we extract. We customize every extraction to your exact requirements. If you need a data point not listed here, we will add it to your pipeline.
Sample output
What a single record looks like
This is a representative payload from a real Shopee extraction job. Field names, schema, and delivery format are scoped to your spec at pilot time.
{
"extracted_at": "2026-04-29T03:14:22Z",
"source": "shopee_app",
"market": "ID",
"item_id": 18472913,
"shop_id": 209837,
"shop_type": "mall",
"title": "Sony WH-1000XM5 Wireless Noise Cancelling Headphones",
"category_path": "Electronics > Audio > Headphones",
"pricing": {
"list_price": 5499000,
"sale_price": 4799000,
"voucher_applied_price": 4399000,
"currency": "IDR"
},
"stock": {
"in_stock": true,
"units_sold": 2847
},
"rating": {
"average": 4.9,
"count": 1432
},
"vouchers": [
{
"code": "SHOPEEPAY100K",
"type": "platform",
"discount_idr": 100000
}
],
"flash_sale": {
"active": true,
"ends_at": "2026-04-29T16:00:00Z"
}
}Schema
Field-level reference
Every record conforms to a stable schema. Your engineering team can integrate against this spec before the pilot starts.
extracted_atISO 8601UTC timestamp of capture2026-04-29T03:14:22Zextracted_atISO 8601UTC timestamp of capture
2026-04-29T03:14:22ZsourceenumShopee surface the record was pulled fromshopee_appsourceenumShopee surface the record was pulled from
shopee_appmarketISO-3166Two-letter Shopee market codeIDmarketISO-3166Two-letter Shopee market code
IDitem_idnumberShopee internal item identifier18472913item_idnumberShopee internal item identifier
18472913shop_idnumberShopee internal shop identifier209837shop_idnumberShopee internal shop identifier
209837shop_typeenumMall, Preferred, or regular seller tiermallshop_typeenumMall, Preferred, or regular seller tier
malltitlestringListing display titleSony WH-1000XM5...titlestringListing display title
Sony WH-1000XM5...category_pathstringFull category breadcrumbElectronics > Audio > Headphonescategory_pathstringFull category breadcrumb
Electronics > Audio > Headphonespricing.list_pricenumberPre-discount listing price5499000pricing.list_pricenumberPre-discount listing price
5499000pricing.sale_pricenumberActive selling price4799000pricing.sale_pricenumberActive selling price
4799000pricing.voucher_applied_pricenumberPrice after best applicable voucher4399000pricing.voucher_applied_pricenumberPrice after best applicable voucher
4399000pricing.currencyISO-4217Currency code for the marketIDRpricing.currencyISO-4217Currency code for the market
IDRstock.in_stockbooleanAvailable at the time of capturetruestock.in_stockbooleanAvailable at the time of capture
truestock.units_soldnumberLifetime units sold (where exposed)2847stock.units_soldnumberLifetime units sold (where exposed)
2847rating.averagenumberAverage star rating4.9rating.averagenumberAverage star rating
4.9rating.countnumberTotal number of reviews1432rating.countnumberTotal number of reviews
1432vouchers[]array<object>Active vouchers (platform, shop, category)[{code, type, discount_idr}]vouchers[]array<object>Active vouchers (platform, shop, category)
[{code, type, discount_idr}]flash_saleobjectFlash sale state and expiry{active: true, ends_at: ...}flash_saleobjectFlash sale state and expiry
{active: true, ends_at: ...}Delivery formats
How you receive the data
You define the format. We handle the rest.
Use cases
How teams put Shopee data to work
From pricing teams to category managers to operations leads, here are the most common ways Shopee data drives decisions.
Real-time price tracking
SKU-level prices across Shopee markets as they move, including app-only prices, voucher-applied prices, and dynamic pricing not visible on the web.
Flash sale and voucher capture
Mega-sale moments (9.9, 10.10, 11.11, 12.12), platform vouchers, ShopeePay rebates, free-shipping mechanics, captured as they go live and as they end.
Seller and listing intelligence
Every seller in a category, Mall, Preferred, regular, with listing counts, ratings, response rates, and product mix.
Inventory and stock signals
In-stock status and units-sold signals across markets and sellers. Catch stock-outs and restocks the moment they happen.
Review and rating aggregation
Structured review data: star rating, text, photo reviews, reviewer profile, timestamps, verified-buyer flag.
Cross-border and category breadth
Cross-border listings, category trees, sub-category performance, banner placements. The full Shopee surface, not just SKUs.
Tech specs
What we run at scale
Every Shopee engagement runs against these baseline specs. Your scope can move freshness, throughput, or geo coverage to whatever you need.
15 min
Minimum extraction cycle
10M+
Shopee records delivered per day
99.9%
Pipeline uptime
8
Active Shopee markets covered
<5 min
p95 delivery latency post-extract
99%+
Records passing validation
Challenges
Why shopee data extraction is hard
If extraction were easy, you would do it yourself. Here is why it is not.
The data is in the app, not on the web
Shopee Web is a thin shell. The app calls encrypted, signed APIs that the web never sees. Web scrapers hit a wall.
Signed requests and rotating tokens
Every app request is signed with a token that rotates. Static scrapers fail within minutes.
Aggressive anti-bot stack
Behavioral analysis, device fingerprinting, CAPTCHAs that appear under load, IP banning that scales fast. Datacenter IPs are blocked on contact in most markets.
App updates push frequently
Endpoints rename, payload shapes shift, signing logic changes, sometimes weekly. Scrapers built on Monday break by Friday.
Geography multiplies everything
Shopee serves different prices, listings, and inventory by market and by GPS within a market. Monitoring one country is one extraction. Monitoring all 8 active markets is 8 parallel pipelines.
CAPTCHAs at scale
Repeated requests trigger CAPTCHAs designed to defeat both human solvers and ML-based solvers. The strategy is to never trigger them, not to solve them.
Why us
Why Clymin for shopee
We are not a tool. We are the team you call when the data matters too much to get wrong.
We solve what others can't
Shopee is one of the platforms that built our reputation. We extract through the app layer with signed-request handling, certificate-pin bypass, and instrumented device pools, across every active market.
We prove it before you pay
Free pilot on your Shopee categories and markets. Sample data within 1 to 3 days, on your sources, against your spec.
You pay only for data delivered
Per record, no setup fees, no per-market charges, no per-app charges. One metric: cost per record. If we don't deliver, you don't pay.
Your identity stays protected
We do not display client logos or name-drop. Competitive intelligence is sensitive. Your competitors should never know you are watching.
100B+
Data points extracted
24/7
Pipeline uptime
Real-time
Data delivery
100K+
Points of interest covered
Proven at enterprise scale. We operate continuous competitive intelligence infrastructure for one of the world's largest quick commerce platforms.
Industries served
Who buys Shopee data
The verticals where Shopee extraction creates the most leverage.
See Shopee data your team has never seen
Tell us your markets, categories, and cadence. Pilot data in 1 to 3 days, no commitment.
FAQ
Shopee Data Extraction data extraction FAQ
Yes. Every active market: Singapore, Indonesia, Malaysia, Thailand, Vietnam, Philippines, Taiwan, and Brazil. You scope the markets. We run them in parallel.
Both. Most engagements are Android-led because the tooling is more mature. Where iOS-only data matters, we run iOS in parallel.
Cycles as low as every 15 minutes. For flash-sale capture (9.9, 10.10, 11.11, 12.12) we run higher cadence on the targeted SKUs and voucher windows.
We solve them where they appear, but the core strategy is to never trigger them. Realistic request patterns, geo-distributed identities, and device-pool rotation that stays under detection thresholds.
Continuous monitoring catches endpoint, payload, and signing changes within hours. Automated fallbacks kick in. Our team patches. You do not see downtime.
Yes. Star rating, text, photos, reviewer ID, timestamp, and verified-buyer flag, structured per review.
Yes. We run higher-cadence cycles on flash-sale windows, capturing voucher mechanics, time-bound pricing, and inventory the moment they activate. The 9.9, 10.10, 11.11, and 12.12 mega events are routine extractions.
CSV, JSON, REST API, or direct push to your data warehouse: BigQuery, Snowflake, Redshift, S3. You define the schema.
We extract publicly available data. We do not extract authenticated user-level data without explicit account ownership. Use of extracted data is the customer's responsibility under their jurisdiction.